Launching today: Explorer gives you instant access to ready-to-use ZK circuits and apps
Deploy in a few clicks what used to take months to build from scratch
Join the 700+ developers who've already generated over 10 million proofs on Sindri
Today, teams can upload and share their ZK projects, with creator rewards coming soon to reward contributors
Zero-knowledge proofs transform digital systems, but building with ZK today is hard.
Development is time-intensive, integration is complex, and the infrastructure costs add up fast.
At Sindri, we've seen these barriers firsthand, and we're changing that with Explorer.
Explorer is our answer to making ZK development as seamless as Web2 and a meaningful step towards creating the largest repository of zero knowledge projects.
It's a hub where you can discover, deploy, and scale ZK projects in minutes rather than months.
Inspired by developer-friendly platforms like Vercel and Hugging Face, we've created an experience that feels familiar while unlocking the power of cryptographic verification.
Already populated with apps built by developers who've collectively generated over 10 million proofs, Explorer lets teams upload their ZK projects and share them with the community.
This means you can immediately access state-of-the-art cryptographic circuits and methodologies without reinventing the wheel.
Our straightforward API and deployment flow eliminate the usual headaches, so you can focus on building what matters.
Explorer is designed to amplify your work, bringing your innovations to developers who can benefit from them most.
Whether you're creating a new ZK rollup, privacy-preserving identity system, or verifiable computation tool, Explorer gives you the platform to share it with the world.
Sindri's infrastructure handles all the complex cryptographic operations behind the scenes, freeing you to iterate rapidly.
What used to take specialized teams months can now be accomplished by solo devs in days or even hours without writing a line of infrastructure code or framework compilation.
For developers using Explorer's components, the benefits are transformative.
No longer do you need to build ZK applications from the ground up. Instead, you can browse a growing library of production-ready components, select the ones that fit your needs, and integrate them directly into your projects.
Just like how Hugging Face super charged ML development by providing ready-to-use models, Explorer gives you instant access to ZK building blocks that would otherwise take months to develop.
The roadmap for Explorer is packed with features our early users have asked for: leaderboards to showcase popular projects, utilization metrics to track impact, and integration tools to make deployment even smoother.
Soon, we'll add creator rewards for contributors based on API usage.
Build something valuable, share it on Explorer, and get rewarded when others use your work: simple as that.
Get started today and join us in making ZK technology accessible to every developer.
The future of autonomous economic exchange will be built on a foundation of zero-knowledge proofs.
The emergence of autonomous AI agents demands a fundamental rethinking of economic trust: How do we establish trust in an economy where autonomous agents engage in billions of transactions without human oversight?
The answer may lie in zero-knowledge proofs (ZK), a technology poised to become the cornerstone of trustless economic exchange in the age of artificial intelligence.
The transition to an agent-driven economy fundamentally reorganizes how value is created, exchanged, and verified.
In this new paradigm, data emerges as the primary commodity, traded between agents for services, insights, or computational tasks.
But unlike traditional economies built on human trust and centralized institutions, an autonomous agent economy demands cryptographic certainty without requiring a human arbiter.
Data in this economy functions like raw materials in industrial economies, but demands new trust primitives.
In traditional commodity markets, physical custody creates natural verification points.
But when agents exchange and transform data, we need cryptographic mechanisms to verify both possession and processing - establishing ground truth without relying on trusted intermediaries or exposing proprietary methods.
Consider a basic exchange between two agents:
Agent A offers to sell a dataset for $100
Agent B agrees to pay, but only if the dataset meets specific criteria
Without ZK, this exchange faces a fundamental trust problem: either Agent B must trust Agent A's claims about the dataset, or they must rely on a centralized mediator—both of which undermine the promise of true agent autonomy.
ZK transforms this dynamic by enabling Agent A to prove cryptographically that the dataset satisfies Agent B's requirements without revealing the data itself.
Payment triggers automatically only when the proof validates, creating a trustless environment for economic exchange.
The innovating technology of zkVMs extends beyond simple verification to enable dynamic, programmable trust.
Instead of encoding fixed proofs, zkVMs allow agents to upload programs that represent the rules of negotiation and trade.
This transforms static verification into fluid, conditional exchange, or encoding conditions as executable programs.
Instead of encoding fixed proofs, zkVMs allow agents to upload a program (often times in Rust although there are several promising projects expanding the accessibility of this technology to other languages) representing the rules of negotiation or trade.
Consider how this plays out in practice:
Agent A uploads a program specifying: "Offer dataset X for $100 if buyer can prove intended use case Y"
Agent B responds with a program stating: "Accept if dataset contains Z records and satisfies quality metric W"
Both programs execute independently on the zkVM, producing a proof that the final negotiated state satisfies both agents' criteria.
This enables negotiation logic to remain flexible, with conditions dynamically evaluated at runtime.
This programmatic approach to trust enables sophisticated negotiation logic that adapts to runtime conditions.
Agents can encode complex requirements, contingencies, and verification steps—all executing automatically and producing cryptographic proof of compliance.
The infrastructure supporting this new economy centers on zkVMs as the fundamental engine of trust.
These virtual machines serve as both immediate transaction verifiers and the foundation for lasting reputation systems.
zkVMs represent a particularly promising development, offering the flexibility to handle non-deterministic interactions between agents while simultaneously building verifiable track records.
Think of them as universal verifiers, capable of not only adapting to evolving negotiation terms and external inputs but also accumulating proof of reliable behavior over time.
An agent can prove both that it has completed a specific transaction correctly and that it has a history of successful exchanges—all without revealing sensitive details of past transactions.
This dual role creates a powerful feedback loop: each verified transaction contributes to a cryptographically secure reputation, which in turn enables access to more complex and valuable exchanges.
The same zkVM that verifies a data transfer can also generate proofs of the agent's overall reliability, creating a trustless yet robust system of reputation.
This programmability comes at a cost—zkVMs face significant computational overhead when scaled to massive datasets or high-throughput networks.
Yet this challenge mirrors the early days of cloud computing, where initial performance limitations gave way to optimizations and architectural innovations.
The implications extend far beyond basic buy-sell transactions.
ZK enables what we might call "composable negotiation and trade." Individual transactions and negotiations can build into larger ecosystems of collaboration, with ZK proofs ensuring integrity at each step.
An agent might:
Prove it has processed data according to agreed-upon parameters without revealing its methods
Verify the successful completion of complex multi-step computations
Demonstrate compliance with regulatory or ethical constraints
Establish a track record of reliable service without exposing sensitive details
This programmable approach to economic relationships represents a fundamental shift in how autonomous systems can interact and create value.
zkVMs transform economic relationships by making trust itself programmable at global scales.
Despite the promising foundation, significant challenges remain.
Scalability stands as perhaps the most pressing concern: How do we scale ZK infrastructure to support billions of autonomous agents trading massive volumes of data without creating bottlenecks or prohibitive costs?
The tradeoff between programmability and operational overhead demands continued innovation in performance optimization.
Solutions are emerging through infrastructure abstraction.
Platforms like Sindri are pioneering zkVM-as-an-API approaches that provide agents with immediate access to scalable proof generation pipelines.
By abstracting away the complexity of low-level ZK implementations while maintaining the flexibility of a generalized API, this model could dramatically reduce the barriers to implementing trustless agent interactions at scale.
Much as cloud APIs democratized access to computational resources, these proof generation APIs may become the foundation for widespread agent-to-agent economic activity.
Questions of reputation and governance also loom large.
Mainstream adoption will require that we design systems that maintain trust, incentivize fairness, and prevent malicious behavior at scale.
The emergence of ZK as the trust layer for autonomous agent economies appears increasingly inevitable.
As AI capabilities advance and agent interactions grow more complex, the need for trustless verification will only intensify.
The technology's ability to enable secure, verifiable exchange without human oversight positions it as essential infrastructure for the next evolution of economic activity.
Success here could unlock unprecedented economic possibilities—a world where autonomous agents engage in complex, trustless commerce at global scale.
The question isn't whether ZK will play a crucial role in the autonomous agent economy, but how quickly we can overcome the technical and architectural challenges to make this vision reality.
The future of autonomous economic exchange will be built on a foundation of zero-knowledge proofs.
